FinTech FP&A Data Analyst — Hybrid London

Arqfinance; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Stock options

Discretionary bonus

Hybrid work

Job summary

ARQ in London is seeking an FP&A Data Analyst to own the finance data layer, build revenue and cost models, and deliver trusted dashboards for leadership across markets. You will bridge Finance and Engineering, ensuring accurate data foundations and timely insights for management, investor reporting, and regulatory needs.

You will work hands-on with dbt, SQL, Python, and BI tools, collaborating with Treasury and Engineering to automate processes and improve reporting.

Qualifications

• 3+ years in a data, analytics or FP&A role in fintech/banking/payments
• Strong SQL and Python required
• Experience with dbt or similar transformation tool and version control
• Good grasp of financial statements and core finance concepts
• Quantitative background with attention to detail and deadline discipline
• Clear communication of variance and data models to engineers and CFOs

Responsibilities

• Own the finance data layer and extend the dbt repo; write tests and keep data clean
• Build revenue, cost models and unit economics across markets
• Support daily and monthly management accounts, reconcile to source systems
• Assist budgeting/forecasting; perform variance analysis for leadership
• Maintain Python services and pipelines for finance reporting
• Map data sources and document business logic for reuse
• Onboard new product/market data flows into financial reporting
• Build dashboards with Finance and Controllership to track metrics
• Spot data anomalies, diagnose root causes and fix upstream
• Help the wider team understand and self-serve finance data

Skills

SQL

Python

Data analysis

Communication

Education

Quantitative background

Tools

dbt

Git

BI tools

Airflow

Job description

ARQ in London is seeking an FP&A Data Analyst to own the finance data layer, build revenue and cost models, and deliver trusted dashboards for leadership across markets. You will bridge Finance and Engineering, ensuring accurate data foundations and timely insights for management, investor reporting, and regulatory needs.

You will work hands-on with dbt, SQL, Python, and BI tools, collaborating with Treasury and Engineering to automate processes and improve reporting.